- [1]Lewis Acidic Metal–Organic Framework Assisted Ambient Liquid Extraction Mass Spectrometry Imaging for Enhancing the Coverage of Poorly Ionizable Lipids in Brain Tissue.Analytical Chemistry, 2024, 96 (3) : 1073-1083.
- [2]Fusion of Quality Evaluation Metrics and Convolutional Neural Network Representations for ROI Filtering in LC–MS.Analytical Chemistry, 2023
- [3]Ultra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library.Nature Communications, 2023
- [4]A Universal and Accurate Method for Easily Identifying Components in Raman Spectroscopy Based on Deep Learning.Analytical Chemistry, 2023
- [5]Photocatalytic Reactive Liquid Microjunction Surface Sampling-Mass Spectrometry Imaging for Rapid and Selective Localization of Alpha-unsubstituted Amine Metabolites or Drugs in Brain Tissue.Analytical Chemistry, 2022
- [6]Prediction of drug-likeness using graph convolutional attention network.Bioinformatics, 2022
- [7]Porous Graphitic Carbon-Based Imprint Mass Spectrometry Imaging with an Ambient Liquid Extraction Technique for Enhancing Coverage of Glycerolipids and Sphingolipids in Brain Tissue.Analytical Chemistry, 2022
- [8]Prediction of Liquid Chromatographic Retention Time with Graph Neural Network to Assist Small Molecule Identification.Analytical Chemistry, 2021
- [9]Separation of Glycolipids/Sphingolipids from Glycerophospholipids on TiO2 Coating in Aprotic Solvent for Rapid Comprehensive Lipidomic Analysis with Liquid Microjunction Surface SamplingMass Spectrometry.Analytical Chemistry, 2020, 92: 11250-11259.
- [10]Hongchao Ji, Hanzi Deng, Hongmei Lu, Zhimin Zhang, Hongmei Lu, Zhimin Zhang, Predicting Molecular Fingerprint from Electron-Ionization Mass Spectrum with Deep Neural Networks.Anal Chem, 2020
- [11]Zhimin Zhang, Hongmei Lu, Yamei Xu, Hongchao Ji.Deep MS/MS-Aided Structural-Similarity Scoring for Unknown Metabolite Identification[J].Anal. Chem., 2019
- [12]Tonghua Li, Hongmei Lu, Zhimin Zhang, Peisheng Cong, Ming Wen.DeepMirTar: a deep-learning approach for predicting human miRNA targets，.Bioinformatics, 2018
- [13]Hongmei Lu, Zhimin Zhang, Hongchao Ji.TarMet: a reactive GUI tool for efficient and confident quantification of MS based targeted metabolic and stable isotope tracer analysis[J].Metabolomics, 2018, 14: 68.
- [14]Zhimin, Hongmei Zhang, Yamei Lu, Fanjuan Xu, Hongchao Zeng, Ji.KPIC2: An Effective Framework for Mass Spectrometry-Based Metabolomics Using Pure Ion Chromatograms[J].Analytical Chemistry, 2017, 89: 7631-7640.
- [15]Hongmei, Yonghuan Lu, Ruihan Yun, Haozhi Yang, Shaoyu Sha, Zhimin Niu, Ming Zhang, Wen.Deep-Learning-Based Drug–Target Interaction Prediction[J].Journal of Proteome Research, 2017, 16 (4) : 1401-1409.
- [16]Yizeng, Jiekun Liang, Hongmei Luo, Zian Lu, Yonghuan Xia, Yang Yun, Xinyi Wang, Zhou.A potential tool for diagnosis of male infertility: Plasma metabolomics based on GC–MS[J].Talanta, 2016, 147: 82-89.
- [17]An D, Wang D, Liang Y, Yi L, Lu H, Huang J, Lin Z, Gon？alves CMV, Dai L.Exploring metabolic syndrome serum free fatty acid profiles based on GC–SIM–MS combined with random forests and canonical correlation analysis[J].Talanta, 2015, 135: 108-114.
- [18]Liang Y-Z, Yi L-Z, Huang X, Yan J, Lu H-M, Gon？alves CMV, Lai G-B, Deng B-C, Liang F, Yun Y-H.nformative metabolites identification by variable importance analysis based on random variable combination[J].Metabolomics, 2015, 11: 1539-1551.
- [19]Min Fan, Hong-Mei He, Lun-Zhao Lu, Daniel K. W. Yi, Qing-Song Mok, Yi-Zeng Xu, Nai-Ping Liang, Dong.Prediction of Peptide fragment ion mass spectra by data mining techniques[J].Analytical Chemistry, 86 (15) : 7446-7454.
- [20]Lu H, Yi L, Liang Y, Dong N.Investigation of Scrambled Ions in Tandem Mass Spectra. Part. 2. On The Influence of the Ions On Peptide Identification[J].J Am Soc Mass Spectrom, 2013, 24: 857-867.